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1. An automated weight monitor can detect under filled cans of beverages with probability 0.98. What is the probability it fails to detect an under filled can for the first time when it encounters the 10th under filled can?
The random variable x is the number of houses sold by a realtor in a single month at the real-estate office. Its probability distribution is:
Can you envision circumstances under which these outcomes would not be normally distributed? Provide three distinct examples of the business outcomes that are not normally distributed.
A random sample of 22 service times (in minutes) gives s-square = 8. Give a 95% confidence interval for the variance of service time at the bank.
a farmer wishes to determine the optimal level of a new fertilizer on his soybeancrop. some factors that affect crop
the number of customers arriving per hour at a certain automobile service facility is assumed to follow a poisson
Draw the graph for the distribution of these data and label it both in terms of raw scores and z-scores. Identify the percentage of students who scored in the following ranges of raw scores:
If the observed value is 4, the expected value is 5, and the standard error is 4, then the test value used for the z test is equal to
Find the t c for a 90% confidence level with a sample size of 18.
Prediction equation is y^ = 30 + 0:60x. Determine predicted final exam score for student who has (i) midterm score = 100, (ii) midterm score = 50. Note that predicted nal exam score regresses toward mean.
(a). Estimate the percentage of female high school students in the region who smoke, along with a 95% confidence interval.
There is a worker error is 0.3, and the probability that an accident will occur when there is no worker error is 0.2. Find the probability of a worker error if there was an accident.
Create the acceptance-rejection technique for creating the geometric random variable, X, with parameter p on range {0, 1, 2, ...}.
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